ArticlePeerJ2020
Using bioinformatics and metabolomics to identify altered granulosa cells in patients with diminished ovarian reserve.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 19 citations in OpenAlex.
- Metabolomic profiling delineates the role of adenosine in oocyte quality and embryonic development.Cell death & disease · 2026Article
- Metabolic dysregulation in follicular fluid is associated with adverse reproductive outcomes in women with decreased ovarian reserve.Journal of ovarian research · 2026Article
- Identification of genes differentially expressed in granulosa cells from women with high vs. low ovarian responsiveness.Frontiers in reproductive health · 2026Article
- Ferroptosis and Sterol Biosynthesis Dysregulation in Granulosa Cells of Patients with Diminished Ovarian Reserve.Antioxidants (Basel, Switzerland) · 2025Article
- Metabolomics-Driven Insights into Biomarkers for Poor Ovarian Response: A Narrative Review.Biomedicines · 2025Review
- Identify the therapeutic role and potential mechanism of α-cyperone in diminished ovarian reserve based on network pharmacology, molecular docking, Lip-MS and experimental validation.Frontiers in pharmacology · 2025Article
- Bile acids in follicular fluid: potential new therapeutic targets and predictive markers for women with diminished ovarian reserve.Journal of ovarian research · 2024Article
- Dynamic changes in the transcriptome and metabolome of pig ovaries across developmental stages and gestation.BMC genomics · 2024Article
- Article
- Metabolomic Analysis Reveals Association between Decreased Ovarian Reserve and In Vitro Fertilization Outcomes.Metabolites · 2024Article
- Differential Proteomic Profiles of Coronary Serum Exosomes in Acute Myocardial Infarction Patients with or Without Diabetes Mellitus: ANGPTL6 Accelerates Regeneration of Endothelial Cells Treated with Rapamycin via MAPK Pathways.Cardiovascular drugs and therapy · 2024Article
- Review
- Potential factors result in diminished ovarian reserve: a comprehensive review.Journal of ovarian research · 2023Review
- Phthalate exposure and risk of ovarian dysfunction in endometriosis: human and animal data.Frontiers in cell and developmental biology · 2023Article
- Expression of pro-apoptotic and anti-apoptotic proteins in granulosa cells of women with diminished ovarian reserve.Journal of assisted reproduction and genetics · 2022Article
- Mir-484 contributes to diminished ovarian reserve by regulating granulosa cell function via YAP1-mediated mitochondrial function and apoptosis.International journal of biological sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDuring fertility treatment, diminished ovarian reserve (DOR) is a challenge that can seriously affect a patient's reproductive potential. However, the pathogenesis of DOR is still unclear and its treatment options are limited. This study aimed to explore DOR's molecular mechanisms.
methodsWe used R software to analyze the mRNA microarray dataset E-MTAB-391 downloaded from ArrayExpress, screen for differentially expressed genes (DEGs), and perform functional enrichment analyses. We also constructed the protein-protein interaction (PPI) and miRNA-mRNA networks. Ovarian granulosa cells (GCs) from women with DOR and the control group were collected to perform untargeted metabolomics analyses. Additionally, small molecule drugs were identified using the Connectivity Map database.
resultsWe ultimately identified 138 DEGs. Our gene ontology (GO) analysis indicated that DEGs were mainly enriched in cytokine and steroid biosynthetic processes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG), the DEGs were mainly enriched in the AGE (advanced glycation end-product)-RAGE (receptor for AGE) signaling pathway in diabetic complications and steroid biosynthesis. In the PPI network, we determined that JUN, EGR1, HMGCR, ATF3, and SQLE were hub genes that may be involved in steroid biosynthesis and inflammation. miRNAs also played a role in DOR development by regulating target genes. We validated the differences in steroid metabolism across GCs using liquid chromatography-tandem mass spectrometry (LC-MS/MS). We selected 31 small molecules with potentially positive or negative influences on DOR development.
conclusionWe found that steroidogenesis and inflammation played critical roles in DOR development, and our results provide promising insights for predicting and treating DOR.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.